The SDRAM module controller reference design for PC accessory applications is based on two LPC860 MCUs and utilizes an I3C interface to transmit audio spectrum and temperature information between the controller and the target. The controller uses FTM to trigger the ADC to sample the audio information, and then executes the FFT algorithm to obtain the spectrum information. After the calculation is completed, the spectral information is transmitted to the target through the I3C interface, and then the device will drive the LED matrix to display the spectral information. At the same time, the target also detects temperature information and transmits it to the controller via I3C.
This LPC860-based motor control reference design includes PMSM flux direction control and BLDC motor commutation control. LPC860 utilizes flexible timers and ADC modules to provide a complete set of peripherals required for motor control, making it suitable for home appliance applications with three-phase motors or multiple DC brush motors.
The motor control reference design uses the LPCXpresso860-MAX evaluation kit and the FRDM motor control development kit, which includes the FRDM-MC-LVPMSM and FRDM-MC-BLDC driver boards to drive the motor. The controller uses a Flextimer (FTM) to generate a PWM signal and utilizes NXP's RECESL control algorithm library to trigger the ADC in an interrupt to run the motor control algorithm after the ADC sampling is completed.
2-layer PCB 28 x 132 mm FR-4, 1.6 mm, 1, tinned with leads, green solder mask, white silkscreen;
This smart battery charger is based on NXP's LPC860 cost-effective MCU, which provides customers with a reference design for smart battery charging applications and can be used for mobile devices such as handheld printers and walkie-talkies.
The S32K142EVB is a low-cost evaluation and development board for general industrial and automotive applications. Based on the 32-bit Arm® Cortex®-M4F S32K14 MCU, the S32K142EVB provides standard specifications compatible with the Arduino® UNO pin layout, providing a wide range of expansion board options for rapid application prototyping and demonstration.
RDS12GHVAC is a reference design based on the 16-bit S12G ultra-reliable microcontroller. RDS12GHVAC consists of a central control board with a human-machine interface (HMI), a motor control board, a damper and a blower motor. It is used to realize the temperature, light, and humidity of automotive HVAC. and air quality sensing interface and configurable automatic climate control software algorithms to effectively control vehicle climate.
This valve controller system uses SB0800 octal valve controller IC with MCU and two power MOSFETs. The system can drive proportional and digital valves as well as system pumps. Monitoring and protection features protect the system from hazardous events such as short circuits, overcurrent or overvoltage, and other abnormal conditions.
OpenFlops is a hardware open source floppy drive emulator/emulator inspired by the ubiquitous Gotek hardware. It is designed to run FlashFloppy firmware.
Multi-sensor fusion is crucial for accurate and reliable autonomous driving systems. State-of-the-art approaches are based on point-level fusion: augmenting LiDAR point clouds with camera features. However, the camera-to-LiDAR projection discards the semantic density of camera features, hindering the effectiveness of such approaches, especially for semantic-oriented tasks such as 3D scene segmentation. In this paper, we propose BEVFusion, an efficient and general multi-task multi-sensor fusion framework. This approach unifies multimodal features in a shared bird's-eye view (BEV) representation space, effectively preserving both geometric and semantic information. To achieve this, we diagnose and eliminate key efficiency bottlenecks in view translation through optimized BEV pooling, reducing latency by over 40x. BEVFusion is fundamentally task-agnostic and seamlessly supports diverse 3D perception tasks with minimal architectural changes. It establishes a new state-of-the-art on the nuScenes benchmark, achieving 1.3% mAP and NDS for 3D object detection and 13.6% mIoU for BEV map segmentation, all while reducing computational cost by 1.9x.